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78 articles for “Voice of Process”
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AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit
Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article
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Design of Three-Stage Pipelined Floating Point Arithmetic Operators
Abstract: Some embedded systems perform signal processing operations (Fourier transform, filtering) as for example for the recognition voice, high quality audio and control of critical systems (airplane, rocket). This type of operation may require the use of floating numbers. This paper presents the hardware implementation of floating point arithmetic operators for addition, subtraction, multiplication using the IEEE-754 single precision format. Proposed architecture follows two different RTL approach, Melay FSM and multiplexer …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 9–22 Read article
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Leaning Pizza to Value production for Competence
Abstract: The ultimate purpose of business activity of making money (Goldrat) is disposed to the customer, in exchange of thevalue served to him, which is essentially tangible. It requires that the organization sustainably invests resources andinitiatives to delight the customer. The objectives are admix of improvement of product and processes, bothtechnically and by improving the softer component including what woo the customer for delight. Towardsimprovement of process and product Quality, it …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 1–20 Read article
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A Voice Based Framework in Medical Emergency and Essential Services Using NLP (In Special Reference to People with Writing Disability)
Abstract: Natural Language Processing (NLP) has become increasingly popular in recent years as a means of organising and structuring knowledge for tasks such as translation, summarization, named entity recognition, relationship extraction, and audio recognition. The processing efficiency of NLP based systems has increased significantly with the introduction of deep learning algorithms. The COVID-19 pandemic has posed a challenge to medical research, information technology operations, corporate procedures, and the global economy. Several …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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Improved Double Layer Encryption Algorithm of Secret Codes in Steganography
Abstract: Steganography is the way of hiding information to secure data for safer communication to take place. It is a process where the information is hidden in another format may be an image, voice, or video. Various other different file formats can be used, like JPG, JPEG, MP3, etc., but digital images are themost popular and considered the best ones because of the frequency they provide on the Internet to the …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 1, 2021 · pp. 19–24 Read article
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Hands-Free Human–Computer Interaction for Smarter Workspaces
Abstract: In current digital work environments, frequent interaction with keyboards and mouse devices can interrupt workflow, especially during presentations, collaborative sessions, and multitasking activities. This study introduces a touchless human–computer interaction system that allows users to operate computer functions through hand gestures and voice instructions, minimizing the need for traditional input devices such as keyboards and mice. The proposed system integrates gesture recognition, speech processing, and optical character recognition (OCR) technologies …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 50–56 Read article
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Analysis of Various Tools of Natural Language Processing Based on Developers Perspective
Abstract: The subject of natural language method has visible mind-blowing development in current years, with neural network community substitution numerous of the traditional structures. A subset of artificial intelligence known as “natural language processing”, or NLP, analyses, comprehends, and generates natural human languages so that computers can reuse written and spoken human language without resorting to computer-generated language. Semantics and syntax are used in natural language processing, which is sometimes referred …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 1–5 Read article
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Sign Talk for Blind and Deaf Translating Hand Gestures into Audible and Textual Communication
Abstract: Sign language serves as a vital communication method for individuals who are deaf or have hearing impairments. It relies on hand gestures, facial cues, and body language to convey messages and express meaning. However, many people who do not know sign language find it hard to communicate with sign language users. The latest progress in artificial intelligence and computing has enabled the creation of systems that can automatically recognize sign …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 20–26 Read article
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Virtual Human Computer Interaction System v1
Abstract: AbstractAccording to various research people are having numerous health problems just because they sit in front of machine for long time. Human Computer interaction is completely dependent on peripheral devices (Mouse, keyboard). Dependency on peripheral devices had made people suffer from back pain, headache, obesity and other physical fatigues. Our approach is to reduce dependency on peripheral devices by creating virtual human computer interaction system. A virtual mouse controlling system …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 20–22 Read article
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Big Data Tools: A Survey
Abstract: AbstractNowadays, a large volume of data is generated in the form of text, voice, video, images, and sound. It is a very challenging job to handle and to get processed these different types of data. It is a very laborious process to analyze big data by using traditional data processing applications. Due to huge scattered file systems, a big data analysis is a difficult task. So, to analyze big data, …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 23–34 Read article
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Natural Language Processing in AI: Language Interpreter
Abstract: With the emergence of Artificial Intelligence in this technocrat world has led to the transformation in the world of technology. With the emergence of Artificial Intelligence it has led to different more technologies such as voice assistants which work for humans in order to make it easy in the workplace but in order to make it more of use and understandable. It has been proved to best suited for study …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 2, 2020 · pp. 21–27 Read article
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Identifying and Blocking of Non-productive Calls in Emergency Call System Using Machine Learning and IVRS Integration
Abstract: The Dial 100 emergency reaction gadget handles over 1,000,000 calls every day, with over 95% being unproductive, such as blank, machine-generated, and spoofed calls. These futile calls waste resources and put off responses to actual emergencies. This look presents a comprehensive solution integrating advanced name evaluation, system learning, and an interactive voice response system (IVRS) to filter out and prevent these calls. Our technique starts with studying incoming calls to …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Implementation of an Adaptive Filter Algorithm with Subband Filtering Approach on Acoustic Echo Cancellation
Abstract: This paper focuses on model and its realization on digital signal processors (DSP) for suppressing annoying acoustic echoes in telephone and mobile communication applications. For cost sensitive subscriber devices and high quality voice communications the aims are 1) minimum computational complexity 2) maximum convergence speed and 3) maximum echo attenuation. The chosen method for the echo cancellation involves a sub band decomposition performing the adaptive filtering in subbands at a …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 28–34 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Brain And Gesture Controlled Assistive System For Physically Challenged Individuals
Abstract: Assistive communication technologies are essential for improving the independence of individuals with physical and sensory disabilities. This paper presents the design and implementation of a multimodal assistive system that integrates brain signal acquisition and gesture recognition for real- time communication. The system utilizes an Electroencephalography (EEG) sensor to capture neural activity and a PAJ7620 gesture sensor along with an ADXL335 accelerometer to detect hand movements. The acquired signals are processed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 36–43 Read article
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Voice Recognized D.C. Motor Drive
Abstract: Speed controlling of a DC motor is a very important as DC motor is very useful in many industrial applications. The advancement in solid state devices has made DC motor speed regulation easier and smoother. The variation in speed can be easily obtained by the help of PWM technique where the gate pulse monitors the speed. In recent times voice automated systems are becoming very common in our day to …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 29–36 Read article
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Robotic Assistance Using ESP32 Microcontroller
Abstract: The Robotic Assistance System using ESP32 Microcontroller is a voice-interactive and manually operable robotic model designed to improve human convenience and engagement in daily life. This project integrates modern technologies such as Alexa-based voice commands for intelligent interaction and Bluetooth-based manual control for user flexibility. By combining artificial intelligence with embedded systems, the robotic assistant is capable of performing a wide range of activities. These include entertainment-related functions like playing …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Object and Person Recognition System for Blind
Abstract: Natural and man-made disasters present a wide range of challenges, which are amplified for people with disabilities. In most cases, assistive technology devices and services assist the disabled in performing daily tasks; yet, these are commonly restricted during and after disasters. One potential approach for people with vision impairment is a cost-effective wearable ‘Object detection’. The object detection provides environmental narratives while also establishing communication between the visually impaired user …
Published in Recent Trends in Programming languages · Vol. 9, Issue 1, 2022 · pp. 31–35 Read article